LLVM-AD @ WACV 2026

About the Workshop

The 5th Workshop on Large Language and Vision Models for Autonomous Driving (LLVM-AD) at WACV 2026 aims to bring together professionals from academia and industry to explore the applications of large language and vision models in autonomous driving. We are particularly interested in bridging the gap between the rich image and language data found within the context of autonomous driving. Our primary areas of interest are: a) Traffic Scene Understanding enhanced by VLMs and b) Human-Autonomy Teaming driven by LLMs. The topics include but not limited to

Large Language Models and Vision Language Models for Autonomous Driving
Multimodal Motion Planning and Prediction
New Dataset for Autonomous Driving
Semantics and Scene Understanding in Autonomous Driving
Language-Driven Sensor and Traffic Simulation
Domain Adaptation and Transfer Learning in Autonomous Driving
Multi-Modal Fusion for Autonomous Driving
Survey and Prospective Paper for Autonomous Driving
Other Applications of Language or Vision Models for Driving

Call for Papers

The workshop papers will be published in IEEE Xplore as WACV 2026 Workshop Proceedings and will be indexed separately from the main conference proceedings. The papers submitted to the workshop should follow the same formatting requirements as the main conference.

The manuscripts should be of 6 to 8 pages. Submissions are expected to follow the same guidelines as those for WACV’s main conference papers.

Please refer to page of call for papers for more details.